**Together AI**, as a diamond sponsor of **NVIDIA GTC 2026**, is showcasing its latest research and product innovations at Booth #1213 in San Jose from March 16 to 19. Today’s updates focus on open-source LLMs, voice AI capabilities, production-grade inference, and AI factory infrastructure. Key announcements include **FlashAttention-4** (up to 1.3× faster than cuDNN on NVIDIA Blackwell), the open-source **ThunderAgent** for agentic workloads (delivering a 3.6× throughput improvement), the **ATLAS-2** adaptive learning speculator, and a full-featured voice AI stack supporting real-time speech-to-text and text-to-speech. Together AI demonstrates how enterprises can transition from AI experiments to production deployment in minutes using its GPU clusters and inference platform.

NVIDIA officially unveiled NemoClaw at GTC 2026 on March 16, an enhanced open-source AI agent stack designed to bring enterprise-grade security, privacy, and multi-agent orchestration to the OpenClaw ecosystem. NemoClaw installs in a single command and combines the OpenClaw agent platform with NVIDIA's Agent Toolkit components, including OpenShell for isolated sandbox execution and AI-Q for building reasoning agents. The stack addresses the critical security concerns that have held back enterprise adoption of autonomous AI agents, offering policy-based guardrails, data privacy controls, and support for NVIDIA's Nemotron open models across deployment environments from RTX PCs to DGX Spark and DGX Station.

NVIDIA shares experienced significant pre-market volatility, dropping as much as 4% as investors reassess the massive GPU infrastructure buildout in light of the "algorithmic efficiency revolution" pioneered by DeepSeek and others. The Chinese AI lab's achievement of GPT-4-level performance using 20x less compute has triggered fundamental questions about whether the projected $1 trillion AI infrastructure investment is overbuilt. While NVIDIA remains dominant in AI hardware, market analysts are recalibrating demand projections as efficient algorithms potentially reduce the need for massive GPU clusters.

Leading AI computing giant NVIDIA and pharmaceutical behemoth Eli Lilly have unveiled a groundbreaking, $1 billion strategic partnership to build a first-of-its-kind AI co-innovation lab in the San Francisco Bay Area. This five-year joint investment aims to fuse NVIDIA's leadership in artificial intelligence and accelerated computing with Lilly's deep expertise in drug discovery and development to tackle some of the industry's most enduring challenges. The collaboration, announced at the J.P. Morgan Healthcare Conference, marks a decisive step towards building a new blueprint for AI-driven medicine, where computational power and biological expertise are physically co-located to accelerate the journey from hypothesis to therapy

NVIDIA dropped NitroGen on December 20, 2025 — a groundbreaking open-source vision-to-action foundation model trained on 40,000 hours of gameplay across 1,000+ titles. This 500M-param beast ingests raw game frames and spits out precise controller actions, zero-shot handling platformers, racers, RPGs, and shooters. Fine-tuned on unseen games, it crushes baselines with 52% higher task success rates — paving the way for autonomous game NPCs, QA bots, and real-world robots via its GR00T roots. Model weights, dataset, and universal Gymnasium simulator are live now on Hugging Face.